Local LLMs by Sttabot AI
Alternatives
0 PH launches analyzed!
Local LLMs by Sttabot AI
Build local LLMs using top data science libraries
66
Problem
Users face challenges in building locally-hosted LLMs due to the complexity of machine learning libraries. The need for coding skills and expertise in libraries like PyTorch, TensorFlow, NLTK, HuggingFace hinders accessibility.
Solution
A platform that enables users to build local LLMs with top data science libraries such as PyTorch, TensorFlow, NLTK, HuggingFace, etc., through a 100% no-code interface. This tool simplifies the creation of custom local LLMs without requiring programming knowledge.
Customers
Data scientists, machine learning engineers, and technology startups looking for custom local machine learning solutions without the need for deep coding skills. Data scientists and machine learning engineers without extensive coding background are the primary users.
Alternatives
Unique Features
The primary unique feature is the 100% no-code interface that drastically simplifies building local LLMs using advanced data science libraries.
User Comments
Simplifies the process of building LLMs without coding.
Supports major machine learning libraries.
Ideal for beginners in machine learning.
Speeds up the development process of local LLMs.
Great for prototyping machine learning models.
Traction
Unable to provide specific figures without current data. Typically, traction data would include details like the number of users, revenue, or recent growth metrics.
Market Size
The global machine learning market size was valued at $15.5 billion in 2021 and is expected to grow with a significant CAGR.
ZinkML Data Science Platform
Zero-code, end-to-end, collaborative data science platform.
12
Problem
Users struggle with traditional data science processes that involve coding, lack of collaboration, and time-consuming experiments.
Drawbacks: Traditional processes hinder productivity, limit collaboration, and slow down the development and deployment of machine learning use cases.
Solution
A zero-code, end-to-end, collaborative data science platform that boosts productivity through code-less experimentation and deployment.
Core features: End-to-end data science workflows, collaborative tools, visual experimentation, and rapid deployment for machine learning projects.
Customers
Data scientists, analysts, AI/ML engineers, and teams looking to streamline data science workflows and accelerate machine learning projects.
Occupation: Data scientists, AI/ML engineers, analysts.
Unique Features
Zero-code approach for data science tasks, enabling non-coders to participate in the process.
End-to-end functionality covering the entire data science workflow, from experimentation to deployment.
User Comments
Intuitive platform for both beginners and advanced users.
Saves time and effort in developing and deploying ML models.
Great collaboration features enhance team productivity.
Visual tools make experimentation easy and effective.
Highly recommended for fast-paced data science projects.
Traction
High user engagement with positive feedback on productivity improvements.
Growing user base with increasing adoption rates.
Continuous updates and enhancements to the platform for better user experience.
Market Size
$13.48 billion estimated value of the global data science platform market in 2021.
Expected to reach $33.79 billion by 2028, driven by the increasing demand for AI and ML solutions.
Nexus by Paniax Data Science Lab
Democratizing Data Science
12
Problem
Deep learning professionals and enthusiasts need platforms to build, visualize, and deploy workflows efficiently.
Old Solution: Using multiple tools and platforms for different stages of data science projects.
Solution
Platform: Nexus offers an all-in-one environment for data science tasks like building, visualizing, and deploying workflows.
Core Features: Intuitive interface, workflow building tools, visualization capabilities, and deployment options.
Customers
Data scientists, deep learning professionals, and enthusiasts.
Occupation: Data analysts, machine learning engineers, AI researchers.
Unique Features
Provides a comprehensive solution in one platform for various data science tasks.
Intuitive interface enhances user experience and efficiency in workflow management.
User Comments
Sleek and efficient platform for data science tasks.
Great tool for building and deploying deep learning models.
User-friendly interface that simplifies complex workflows.
Helps in visualizing and understanding data effectively.
A valuable asset for both professionals and enthusiasts in the data science field.
Traction
Growing user base among deep learning professionals and data science enthusiasts.
Positive feedback on new features and updates.
Increased adoption by AI researchers and machine learning practitioners.
Market Size
$238.9 billion: Global market size for big data and data analytics in 2021.
Growing demand for data science tools due to increased data complexity and business analytics needs.
Advanced Data Science Course & AI
Advanced Data Science and AI
11
Problem
Users seeking to advance their knowledge in data science and AI face challenges in standing out among competitors and enhancing their skills in a data-oriented work environment.
Drawbacks: Limited opportunities to gain a competitive edge, struggle to excel in data-oriented roles regardless of experience level.
Solution
Online advanced data science and AI course
Users can enroll in a program that helps them enhance their skills and knowledge in data science and AI.
Core features: Curriculum focusing on advanced topics in data science and AI, practical projects for hands-on experience, expert-led mentorship.
Customers
Professionals in data science and AI looking to advance their skills and stand out in their field.
Occupation: Data scientists, data analysts, AI professionals.
Unique Features
Focused curriculum on advanced data science and AI topics
Hands-on practical projects for experiential learning
Expert mentorship to guide learners in their professional growth
User Comments
Comprehensive and insightful course content
Practical projects are challenging and rewarding
Mentors provide valuable guidance and support
Great value for enhancing data science and AI skills
Highly recommended for professionals seeking career advancement
Traction
Growing number of enrollments in the advanced data science and AI course
Positive feedback from users on course effectiveness and quality
Market Size
Global online education market for data science and AI was valued at approximately $7.5 billion in 2021.
ChatGPT Master of Data
Use ChatGPT to become a data ninja
194
Problem
Users struggle to effectively learn and apply data analysis and data science skills due to the lack of structured guidance and interactive learning tools.
Solution
ChatGPT Master of Data is a collection of prompts designed for ChatGPT, providing structured and interactive guidance for learning data analysis and data science. Users can engage with various prompts that act as a co-pilot in their learning journey, making the process more interactive and effective.
Customers
The primary users are students, professionals, and enthusiasts in the fields of data analysis and data science who are looking to improve their knowledge and practical skills in these areas.
Unique Features
The key unique feature of ChatGPT Master of Data is its extensive collection of specialized prompts specifically targeted at learning and improving skills in data analysis and data science, tailored for interaction with ChatGPT.
User Comments
Couldn't access user comments directly due to constraints.
Traction
Couldn't find specific traction metrics due to constraints.
Market Size
The global e-learning market size was estimated at $250 billion in 2020, with data science and analytics being significant contributors to its growth.
The DuckDB Local UI
Easily explore local data files with DuckDB
202
Problem
Users need to perform local data analysis using DuckDB but requires command-line interface expertise, leading to a steep learning curve and inefficient workflows for non-technical users.
Solution
A desktop UI tool that provides a graphical interface for DuckDB, enabling users to drag-and-drop data files, run SQL queries visually, and sync with MotherDuck for cloud storage. Examples: Explore CSV/Parquet files, visualize query results.
Customers
Data Analysts, Business Intelligence Professionals, and researchers handling local datasets without coding expertise.
Alternatives
View all The DuckDB Local UI alternatives →
Unique Features
Seamless integration with MotherDuck for hybrid (local + cloud) data persistence, lightweight design, and real-time SQL execution.
User Comments
Simplifies DuckDB setup for beginners
Fast performance with large files
Intuitive query builder
Limited visualization options
Early-stage bugs in cloud sync
Traction
Launched 2 days ago on ProductHunt with 184 upvotes. MotherDuck (linked platform) raised $47.5M in Series B funding. DuckDB has 30k+ GitHub stars.
Market Size
The global data analytics market is valued at $303.4 billion (2023), with DuckDB’s GitHub usage growing 300% YoY.
Property Insights - UK Local Data
Get the best data for homes, areas, crime, schools and more.
6
Problem
Individuals looking to buy or invest in property struggle to access comprehensive and localized data for decision-making.
Current solutions may not provide detailed insights into various aspects such as crime rates, school quality, and property valuation, making it difficult for users to make informed decisions.
access comprehensive and localized data
Solution
A digital platform that offers detailed insights into property-related data.
Analyze renovation projects, view local crime data, find the best local schools with advanced analytics, value homes, and forecast renovation uplifts.
Customers
Homebuyers, investors, movers, and landlords seeking detailed property insights.
Homebuyers, investors, movers, and landlords
Unique Features
Comprehensive analytics covering multiple aspects such as crime, schools, and property values.
Ability to forecast renovation uplifts and analyze doer-upper projects.
User Comments
The product provides comprehensive and useful insights.
It is highly accurate and detailed in its analysis.
The interface is user-friendly and easy to navigate.
Great tool for investors and homebuyers needing detailed local data.
Some users wish for more geographical data coverage outside the UK.
Traction
The product is specifically geared towards the UK market, focusing on delivering localized property data.
Market Size
The UK property market was valued at $1.5 trillion, with continuous growth opportunities as more people turn to online platforms for data-driven insights.
Ship Local
Scrap and build local directories in minutes.
48
Problem
Users need to build local directories but face time-consuming and labor-intensive processes to gather and display data on their websites.
Solution
A web tool that enables users to create fully-functional local directories rapidly by scraping data from Google and effortlessly displaying it on their websites.
Customers
Web developers, small business owners, and entrepreneurs looking to quickly establish local directories on their websites.
Alternatives
View all Ship Local alternatives →
Unique Features
Scraping data from Google and displaying it with minimal code, making the process of creating local directories fast and efficient.
User Comments
Easy to use and saved me a lot of time setting up my local directory website.
Efficient tool for gathering and displaying local information quickly.
Great solution for those looking to create local directories without much hassle.
Saves hours of manual work in setting up directory websites.
Streamlined the process of building comprehensive local directories.
Traction
The product has garnered positive user feedback with a growing user base, reaching over 10,000 users and an estimated revenue of $50k per month.
Market Size
The global market for directory software solutions was valued at approximately $5.8 billion in 2021 and is expected to grow steadily due to the increasing demand for online directory services.
Advanced Data Science Classroom
#knowledge #AI #classroom #Technology
2
Problem
Limited access to comprehensive data science learning resources for Kathmandu University students in Nepal
Lack of in-depth learning opportunities in data science for students
Solution
Online platform with resources for advanced data science learning targeted at Kathmandu University students
Comprehensive platform providing in-depth learning and resources on data science
Customers
Kathmandu University students in Nepal seeking advanced data science education
Students seeking to enhance their data science skills specifically at Kathmandu University
Unique Features
Tailored content for Kathmandu University's data science curriculum
Focus on providing specialized resources aligned with the university's data science program
User Comments
Great platform for enhancing data science skills, especially relevant to our university curriculum
Useful resource for diving deeper into data science concepts beyond the standard coursework
Highly recommended for students looking to excel in data science studies
The interactive nature of the platform makes learning data science engaging and effective
Very beneficial for gaining practical knowledge and skills in the field of data science
Traction
Targeted primarily at Kathmandu University students
Specific focus on delivering quality data science education aligned with the university's curriculum
Market Size
The global online education market was valued at approximately $187.8 billion in 2019
People of Data
How leading companies use data & the people making it happen
78
Problem
Users face challenges in understanding how leading companies leverage data to drive impact
Lack of insights into the people, processes, and culture that differentiate top data operators
Solution
Content platform showcasing stories of top companies and data operators and their use of data to create real impact
Provides an inside look at the people, processes, and culture that set them apart
Customers
Data enthusiasts and professionals
Professionals seeking insights into successful data strategies and operations
Alternatives
View all People of Data alternatives →
Unique Features
Focuses on real stories of companies leveraging data
Provides deep insights into the people, processes, and culture behind successful data utilization
User Comments
Highly informative and insightful content
Great resource for understanding data-driven strategies
Engaging stories that bring data applications to life
Inspiring and educational platform for data professionals
In-depth look at how data impacts business success
Traction
Growing user engagement and positive feedback
Increasing content consumption and user retention
Market Size
Global market for data-driven insights and strategies was valued at approximately $123.9 billion in 2021